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Avro2TF is designed to fill the gap of making users' training data ready to be consumed by deep learning training frameworks.

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The README talks about setting the dtype to 'sparseVector', which is an older form of this library. You'd get the error above about "No value found for 'sparseVector'". The documentation...

Provide a simple demo to our users.

In looking at the diff in #39, I noticed that `DeserializationFeature.ACCEPT_SINGLE_VALUE_AS_ARRAY` was set to `true`, but, after #31 was merged, this effectively became `false`. This behavior wasn't documented or tested,...

In many cases, having a sorted featurelist for the vectorization ensures the same mapping across different avro2tf runs.

Opening this issue to add support to Google Cloud Dataproc for Avro2TF. 1. Add initialization [action](https://github.com/GoogleCloudPlatform/dataproc-initialization-actions) 2. Create example (Read BigQuery table (Public Datasets), export table to Avro format and...